论文标题
使用缓冲区的混合FSO/RF无人机移动继电器的吞吐量最大化
Throughput Maximization of Mixed FSO/RF UAV-aided Mobile Relaying with a Buffer
论文作者
论文摘要
在本文中,我们考虑了在缓冲区约束下的无人机(UAV)辅助移动继电器系统。我们提出了一种新的继电器协议,该协议采用混合空间光学/射频(FSO/RF)通信,即分别在无人机中的缓冲区约束下,分别利用FSO和RF链接。考虑到RF和FSO链接之间的传输速率不平衡的条件,我们研究了缓冲区约束的无人机继电器节点的轨迹优化问题,以最大程度地提高端到端数据吞吐量。特别是,我们根据延迟要求对两个继电器传输方案进行分类,即i)延迟限制的传输和ii)延迟耐受性传输。我们解决了无人机的本地最佳轨迹问题,以最大程度地提高地面用户终端的吞吐量。结果,我们提出了一种迭代算法,该算法有效地找到了用于吞吐量最大化问题的局部最佳解决方案。通过该算法,我们在大气条件,缓冲区大小和延迟要求上介绍了所得的轨迹。另外,我们显示给定系统的最佳缓冲区大小和吞吐量折衷。我们的数值结果验证了所提出的缓冲辅助移动继电器方案与常规静态继电器方案相比,吞吐量获得了65.55%。
In this paper, we consider an unmanned aerial vehicle (UAV) aided mobile relaying system under a buffer constraint. We propose a new relaying protocol employing mixed free-space optical/radio frequency (FSO/RF) communication, i.e., the source-relay and relay-destination links utilize FSO and RF links, respectively, under the buffer constraint at the UAV relay node. Taking the conditions of an imbalance in transmission rate between RF and FSO links into consideration, we study the trajectory optimization problem of buffer-constrained UAV relay node in order to maximize the end-to-end data throughput. Especially, we classify two relaying transmission schemes according to the delay requirements, i.e., i) delay-limited transmission and ii) delay-tolerant transmission. We solve the locally optimal trajectory problem of the UAV to maximize the throughput of ground user terminal. As a result, we propose an iterative algorithm that efficiently finds a local optimum solution for the throughput maximization problems. Through this algorithm, we present the resulting trajectories over the the atmospheric condition, the buffer size, and the delay requirement. Also, we show the optimum buffer size and the throughput-delay tradeoff for a given system. Our numerical results validate that the proposed buffer-aided mobile relaying scheme achieves 65.55% throughput gains compared to conventional static relaying scheme.